Literature DB >> 33046796

SIX4 promotes hepatocellular carcinoma metastasis through upregulating YAP1 and c-MET.

Qin He1, Zhuoying Lin1, Zhihui Wang1, Wenjie Huang2, Dean Tian1, Mei Liu3, Limin Xia4.   

Abstract

Metastasis is the main reason for high mortality in hepatocellular carcinoma (HCC) patients and the molecular mechanism remains unclear. Therefore, it is important to elucidate the mechanism underlying HCC metastasis. Here, we report a novel role of SIX homeobox 4 (SIX4), one of the SIX gene family, in promoting HCC metastasis. The elevated expression of SIX4 was positively correlated with loss of tumor encapsulation, microvascular invasion, higher TNM stage, and poor prognosis in human HCC. SIX4 expression was an independent and significant risk factor for the recurrence and survival in HCC patients. Upregulation of SIX4 promoted HCC invasion and metastasis, whereas downregulation of SIX4 decreased HCC invasion and metastasis. SIX4 transactivated Yes1 associated transcriptional regulator (YAP1) and MET proto-oncogene, receptor tyrosine kinase (MET) expression through directly binding to their promoters. Knockdown of YAP1 and c-MET inhibited SIX4-medicated HCC metastasis, while the stable overexpression of YAP1 and c-MET reversed the decreased metastasis induced by SIX4 knockdown. Hepatocyte growth factor (HGF), the specific ligand of c-MET, upregulated SIX4 expression through ERK/NF-κB pathway. Knockdown of SIX4 significantly decreased HGF-enhanced HCC metastasis. In human HCC tissues, SIX4 expression was positively correlated with nuclear YAP1, c-MET and HGF expression. Patients with positive coexpression of SIX4/ nuclear YAP1, SIX4/c-MET or HGF/SIX4 had the poorest prognosis. Moreover, the combination treatment of YAP1 inhibitor Verteporfin and c-MET inhibitor Capmatinib significantly suppressed SIX4-mediated HCC metastasis. In conclusion, SIX4 is a prognostic biomarker in HCC patients and targeting the HGF-SIX4-c-MET positive feedback loop may provide a promising strategy for the treatment of SIX4-driven HCC metastasis.

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Year:  2020        PMID: 33046796     DOI: 10.1038/s41388-020-01500-y

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  48 in total

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Journal:  Dis Model Mech       Date:  2020-03-03       Impact factor: 5.758

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  8 in total

Review 1.  SIX3 function in cancer: progression and comprehensive analysis.

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Journal:  Cancer Gene Ther       Date:  2022-06-28       Impact factor: 5.987

2.  T-box transcription factor 19 promotes hepatocellular carcinoma metastasis through upregulating EGFR and RAC1.

Authors:  Xiaoyu Ji; Xiaoping Chen; Bixiang Zhang; Meng Xie; Tongyue Zhang; Xiangyuan Luo; Danfei Liu; Yangyang Feng; Yijun Wang; Mengyu Sun; Congxin Li; Wenjie Huang; Limin Xia
Journal:  Oncogene       Date:  2022-02-26       Impact factor: 9.867

3.  A Novel and Robust Prognostic Model for Hepatocellular Carcinoma Based on Enhancer RNAs-Regulated Genes.

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Journal:  Front Oncol       Date:  2022-05-12       Impact factor: 5.738

4.  IGF2BP3‑stabilized SIX4 promotes the proliferation, migration, invasion and tube formation of ovarian cancer cells.

Authors:  Jinbiao Han; Xia Hu
Journal:  Mol Med Rep       Date:  2022-05-26       Impact factor: 3.423

5.  FOXA1 Leads to Aberrant Expression of SIX4 Affecting Cervical Cancer Cell Growth and Chemoresistance.

Authors:  Zhuo Wang; Bao-Sheng Sun; Zhi-Shen Chen; Kang-Kang Zhao; Yun-Long Wang; Fan-Xu Meng; Yang Zhang
Journal:  Anal Cell Pathol (Amst)       Date:  2022-04-20       Impact factor: 4.133

6.  MiR-21-3p Promotes Hepatocellular Carcinoma Progression via SMAD7/YAP1 Regulation.

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7.  Selenium sulfide disrupts the PLAGL2/C-MET/STAT3-induced resistance against mitochondrial apoptosis in hepatocellular carcinoma.

Authors:  Tianfeng Yang; Jian Huo; Rui Xu; Qi Su; Wenjuan Tang; Dongdong Zhang; Man Zhu; Yingzhuan Zhan; Bingling Dai; Yanmin Zhang
Journal:  Clin Transl Med       Date:  2021-09

8.  The feedback loop of ANKHD1/lncRNA MALAT1/YAP1 strengthens the radioresistance of CRC by activating YAP1/AKT signaling.

Authors:  Ping-An Yao; Yong Wu; Kui Zhao; Yecheng Li; Jianping Cao; Chungen Xing
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  8 in total

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